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Infrastructure planning for electric vehicles with battery swapping
Open accessAbstract
Electric vehicles (EVs) have been proposed as a key technology to help cut down the massive greenhouse gas emissions from the transportation sector. Unfortunately, because of the limited capacity of batteries, typical EVs can only travel for about 100 miles on a single charge and require hours to be recharged. The industry has proposed a novel solution centered around the use of “swapping stations,” at which depleted batteries can be exchanged for recharged ones in the middle of long trips. The possible success of this solution hinges on the ability of the charging service provider to deploy a cost-effective infrastructure network, given only limited information regarding adoption rates. We develop robust optimization models that aid the planning process for deploying battery-swapping infrastructure. Using these models, we study the potential impacts of battery standardization and technology advancements on the optimal infrastructure deployment strategy. This paper was accepted by Dimitris Bertsimas, optimization.
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Mak et al. proposed robust optimization models to help battery exchange planning.
“Mak et al. [62] proposed robust optimization models that help the process of the battery exchange planning.”
From A Review on Electric Vehicles: Technologies and Challenges (2021) · cites this paper as [62]
Mak et al. analyzed battery standardization and technological development in the optimal strategy for deploying battery exchange infrastructures.
“The authors also analyzed the possibility of battery standardization and technological development in the optimal strategy for deploying the infrastructures.”
From A Review on Electric Vehicles: Technologies and Challenges (2021) · cites this paper as [62]
Citations
Cites
Bertsimas, D., & Sim, M. (2004) · Operations Research · doi:10.1287/opre.1030.0065 · Cited by 4,610
Ben‐Tal, A., & Nemirovski, A. S. (1998) · Mathematics of Operations Research · doi:10.1287/moor.23.4.769 · Cited by 2,640
Robust solutions of uncertain linear programs
Ben‐Tal, A., & Nemirovski, A. S. (1999) · Operations Research Letters · doi:10.1016/s0167-6377(99)00016-4 · Cited by 1,859
Robust discrete optimization and network flows
Bertsimas, D., & Sim, M. (2003) · Mathematical Programming · doi:10.1007/s10107-003-0396-4 · Cited by 1,821
Convex Approximations of Chance Constrained Programs
Nemirovski, A. S., & Shapiro, A. (2006) · SIAM Journal on Optimization · doi:10.1137/050622328 · Cited by 1,191
Wiley encyclopedia of operations research and management science
(2011) · Choice Reviews Online · doi:10.5860/choice.49-0052 · Cited by 783
The flow-refueling location problem for alternative-fuel vehicles
Kuby, M., & Lim, S. (2004) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2004.03.001 · Cited by 706
Studies in Mathematical Theory of Inventory and Production
Vadja, S., Arrow, K. J., Karlin, S., et al. (1959) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402060 · Cited by 703
Distributionally Robust Optimization and Its Tractable Approximations
Goh, J., & Sim, M. (2010) · Operations Research · doi:10.1287/opre.1090.0795 · Cited by 694
A Flow‐Capturing Location‐Allocation Model
Hodgson, M. J. (1990) · Geographical Analysis · doi:10.1111/j.1538-4632.1990.tb00210.x · Cited by 692
A Joint Location-Inventory Model
Shen, Z. M., Coullard, C. R., & Daskin, M. S. (2003) · Transportation Science · doi:10.1287/trsc.37.1.40.12823 · Cited by 668
Self-citationA Min-Max Solution of an Inventory Problem
Scarf, H. (2005) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137024381_3 · Cited by 574
Wiley Encyclopedia of Operations Research and Management Science
Cochran, J. (2010) · Wiley eBooks · doi:10.1002/9780470400531 · Cited by 568
“Electric vehicles: how much range is required for a day's driving?
Pearre, N. S., Kempton, W., Guensler, R. L., & Elango, V. V. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.12.010 · Cited by 554
A Robust Optimization Perspective on Stochastic Programming
Chen, X., Sim, M., & Sun, P. (2007) · Operations Research · doi:10.1287/opre.1070.0441 · Cited by 370
From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization
Chen, W., Sim, M., Sun, J., et al. (2009) · Operations Research · doi:10.1287/opre.1090.0712 · Cited by 325
A Model for Location of Capacitated Alternative‐Fuel Stations
Upchurch, C., Kuby, M., & Lim, S. (2009) · Geographical Analysis · doi:10.1111/j.1538-4632.2009.00744.x · Cited by 303
Optimal Location of Discretionary Service Facilities
Berman, O., Larson, R. C., & Fouska, N. (1992) · Transportation Science · doi:10.1287/trsc.26.3.201 · Cited by 292
Integrated supply chain design models: a survey and future research directions
Shen, Z. M. (2007) · Journal of Industrial and Management Optimization · doi:10.3934/jimo.2007.3.1 · Cited by 275
Self-citationRobust Mean-Covariance Solutions for Stochastic Optimization
Popescu, I. (2007) · Operations Research · doi:10.1287/opre.1060.0353 · Cited by 251
Kuby, M., & Lim, S. (2006) · Networks and Spatial Economics · doi:10.1007/s11067-006-9003-6 · Cited by 238
A Design of an Optimal Battery Pulse Charge System by Frequency-Varied Technique
Chen, L.-R. (2007) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.888796 · Cited by 208
Robust Approximation to Multiperiod Inventory Management
See, C.-T., & Sim, M. (2009) · Operations Research · doi:10.1287/opre.1090.0746 · Cited by 203
Biofuel refinery location and supply chain planning under traffic congestion
Bai, Y., Hwang, T., Kang, S., & Ouyang, Y. (2010) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2010.04.006 · Cited by 174
Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains
Shang, K., & Song, J.-S. (2003) · Management Science · doi:10.1287/mnsc.49.5.618.15147 · Cited by 143
A Conic Integer Programming Approach to Stochastic Joint Location-Inventory Problems
Atamtürk, A., Berenguer, G., & Shen, Z. M. (2012) · Operations Research · doi:10.1287/opre.1110.1037 · Cited by 143
Self-citationTRACTABLE ROBUST EXPECTED UTILITY AND RISK MODELS FOR PORTFOLIO OPTIMIZATION
Natarajan, K., Sim, M., & Uichanco, J. (2010) · Mathematical Finance · doi:10.1111/j.1467-9965.2010.00417.x · Cited by 135
Conic mixed-integer rounding cuts
Atamtürk, A., & Narayanan, V. (2008) · Mathematical Programming · doi:10.1007/s10107-008-0239-4 · Cited by 114
Convergence of weighted averages of independent random variables
Jamison, B., Orey, S., & Pruitt, W. E. (1965) · Probability Theory and Related Fields · doi:10.1007/bf00535481 · Cited by 112
Chen, W., & Sim, M. (2009) · Operations Research · doi:10.1287/opre.1080.0570 · Cited by 110
Locating Discretionary Service Facilities, II: Maximizing Market Size, Minimizing Inconvenience
Berman, O., Bertsimas, D., & Larson, R. C. (1995) · Operations Research · doi:10.1287/opre.43.4.623 · Cited by 108
Inventory placement in acyclic supply chain networks
Magnanti, T. L., Shen, Z. M., Shu, J., et al. (2005) · Operations Research Letters · doi:10.1016/j.orl.2005.04.004 · Cited by 104
Self-citationRobust Storage Assignment in Unit-Load Warehouses
Ang, M., Lim, Y. F., & Sim, M. (2012) · Management Science · doi:10.1287/mnsc.1120.1543 · Cited by 102
Optimal fueling strategies for locomotive fleets in railroad networks
Nourbakhsh, S. M., & Ouyang, Y. (2010) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2010.03.003 · Cited by 68
Kang, S., Önal, H., Ouyang, Y., Scheffran, J., & Tursun, U. D. (2009) · Springer eBooks · doi:10.1007/978-1-4419-0369-3_10 · Cited by 50
Locating Discretionary Service Facilities Based on Probabilistic Customer Flows
Berman, O., Krass, D., & Xu, C. W. (1995) · Transportation Science · doi:10.1287/trsc.29.3.276 · Cited by 40
Bounding separable recourse functions with limited distribution information
Birge, J. R., & Dulá, J. H. (1991) · Annals of Operations Research · doi:10.1007/bf02204821 · Cited by 31
Integrated Supply Chain Design Models
Mak, H., & Shen, Z. M. (2011) · Wiley Encyclopedia of Operations Research and Management Science · doi:10.1002/9780470400531.eorms0414 · Cited by 9
Self-citationAgility and Proximity Considerations in Supply Chain DesignPreprint
Lim, M. K., Mak, H., & Shen, Z. M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2022679 · Cited by 6
Self-citation
Flagged first, then by citations
Research works printed but not linked: 9
- Bradsher K, 2011, New York Times
- Chambers S, 2011, Electric Vehicle Update
- Fehrenbacher K, 2010, GigaOM
- Jamison B, 1965, Probab. Theory and Related Fields, 4, 40
- Kerschbaum M, 2010, Better Place Blog
- Reuters, 2012, Reuters
- Schwartz A, 2010, Fast Company
- Schwartz ND, 2010, New York Times
- Vlasic B, 2013, New York Times
Cited by
Sorted by citations
A Review on Electric Vehicles: Technologies and Challenges
Sanguesa, J. A., Torres-Sanz, V., Garrido, P., Martinez, F. J., & Marquez-Barja, J. M. (2021) · Smart Cities · doi:10.3390/smartcities4010022 · Cited by 1,367
Inductive Wireless Power Transfer Charging for Electric Vehicles—A Review
Mahesh, A., Chokkalingam, B., & Mihet-Popa, L. (2021) · IEEE Access · doi:10.1109/access.2021.3116678 · Cited by 513
PEV fast-charging station siting and sizing on coupled transportation and power networks
Zhang, H., Moura, S. J., Hu, Z., & Song, Y. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2614939 · Cited by 350
Xiao, Y., Zhang, Y., Kaku, I., Kang, R., & Pan, X. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111567 · Cited by 236
Senol, M., Bayram, I. S., Naderi, Y., & Galloway, S. (2023) · IEEE Access · doi:10.1109/access.2023.3268615 · Cited by 110
Online routing and battery reservations for electric vehicles with swappable batteries
Adler, J. D., & Mirchandani, P. B. (2014) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2014.09.005 · Cited by 103
Sustainable Electric Vehicle Charging using Adaptive Pricing
Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. (2020) · Production and Operations Management · doi:10.1111/poms.13179 · Cited by 103
On the Values of Vehicle-to-Grid Electricity Selling in Electric Vehicle Sharing
Zhang, Y., Lu, M., & Shen, S. (2020) · Manufacturing & Service Operations Management · doi:10.1287/msom.2019.0855 · Cited by 78
Alp, O., Tan, T., & Udenio, M. (2022) · Omega · doi:10.1016/j.omega.2022.102595 · Cited by 75
Charging station planning for plug-in electric vehicles
Zhu, Z., Gao, Z., Zheng, J., & Du, H. (2018) · Journal of Systems Science and Systems Engineering · doi:10.1007/s11518-017-5352-6 · Cited by 47
Recharging systems and business operations to improve the economics of electrified taxi fleets
Hsieh, I.-Y. L., Nunes, A., Pan, M. S., & Green, W. H. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102119 · Cited by 16
Metadata
- Authors
- Mak, H.-Y., Rong, Y., & Shen, Z.-J. M.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Shanghai Jiao Tong University (CN)
- University of California, Berkeley (US)
- Venue
- Management Science
- Published
- 2013-07
- Volume
- 59
- Issue
- 7
- Pages
- 1557-1575
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W3125825357
- Cited by
- 570
- References
- 39
- Citations by year
- 2026: 37 · 2025: 51 · 2024: 58 · 2023: 52 · 2022: 52 · 2021: 56 · 2020: 59 · 2019: 43 · 2018: 36 · 2017: 40 · 2016: 28 · 2015: 28 · 2014: 14 · 2013: 13 · 2012: 2
- FWCI
- 16.60
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Management Science (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- electric vehicles, battery replacement, charging infrastructure planning, robust optimization, battery standardization, cost-effective network design
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